# CYRUS Soccer Simulation 2D Team Description Paper 2022

arXiv: https://arxiv.org/abs/2205.10953 · HTML: https://mlsanity.com/paper/2205.10953/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 4 of its 12 references that are in the map.
- First posted on arXiv 22 May 2022.

## Builds on (most cited first, 4 of 4)

- [PyTorch: An Imperative Style, High-Performance Deep Learning Library](https://mlsanity.com/paper/1912.01703/) (2019)
- [Gliders2d: Source Code Base for RoboCup 2D Soccer Simulation League](https://mlsanity.com/paper/1812.10202/) (2018)
- [Cyrus 2D Simulation Team Description Paper 2016](https://mlsanity.com/paper/2202.03726/) (2022)
- [Cyrus 2D Simulation Team Description Paper2018](https://mlsanity.com/paper/2008.03456/) (2020)

## Abstract (arXiv)

Soccer Simulation 2D League is one of the major leagues of RoboCup competitions. In a Soccer Simulation 2D (SS2D) game, two teams of 11 players and one coach compete against each other. The players are only allowed to communicate with the server that is called Soccer Simulation Server. This paper introduces the previous and current research of the CYRUS soccer simulation team, the champion of RoboCup 2021. We will present our idea about improving Unmarking Decisioning and Positioning by using Pass Prediction Deep Neural Network. Based on our experimental results, this idea proven to be effective on increasing the winning rate of Cyrus against opponents.